Ethical and Regulatory Aspects of AI in Accounting

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Mentor Based

Program Syllabus

Module 1

About This Course

This self-paced program explores the ethical and regulatory considerations of using AI in accounting. Participants will learn about ethical use, regulatory compliance, data privacy, and study case studies. The course also includes preparation for AI certifications in accounting.

Module 2

Aim

To provide PhD scholars and academicians with advanced skills in understanding and managing the ethical and regulatory aspects of AI in accounting. This course aims to ensure ethical AI implementations, adherence to financial regulations, and data privacy in AI-driven accounting practices.

Module 3

Program Objectives

Ensure ethical implementations of AI in accounting.
Achieve regulatory compliance with AI tools.
Protect financial data using AI-driven privacy solutions.
Analyze successful case studies in ethical AI use.
Prepare for AI certifications in accounting.

Module 4

Program Structure

Ethical Use of AI
- Ensuring ethical implementations in finance
- Principles and frameworks for ethical AI
- Hands-on session with ethical AI tools
Regulatory Compliance
- AI’s role in adhering to financial regulations
- Key regulatory standards and guidelines
- Practical applications and case studies
Data Privacy
- Protecting financial data in AI applications
- Data privacy laws and regulations
- Hands-on session with data privacy tools
Case Studies
- Ensuring ethical use and compliance with AI
- Analysis of successful implementations
- Lessons learned and best practices
Certification Preparation
- Key areas for AI certifications in accounting
- Study materials and resources
- Practice exams and review sessions

Lead Instructor

Dr. Sarah Chen

PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.